scholarly journals Biocompatible wear-resistant thick ceramic coating

2016 ◽  
Vol 2 (1) ◽  
pp. 31-34
Author(s):  
Nicola Vogt ◽  
Katarzyna Wozniak ◽  
Armando Salito ◽  
Michael de Wild
Keyword(s):  
Foreign Body ◽  
Process Parameters ◽  
Ceramic Coating ◽  
Titanium Implants ◽  
Wear Resistant ◽  
Debris Particle ◽  
Active Elements ◽  
Metallic Implants

AbstractSensitisation to immunologically active elements like chromium, cobalt or nickel and debris particle due to wear are serious problems for patients with metallic implants. We tested the approach of using a hard and thick ceramic coating as a wear-resistant protection of titanium implants, avoiding those sensitisation and foreign body problems. We showed that the process parameters strongly influence the coating porosity and, as a consequence, also its hardness.

scholarly journals Process Parameter Optimization When Preparing Ti(C, N) Ceramic Coatings Using Laser Cladding Based on a Neural Network and Quantum-Behaved Particle Swarm Optimization Algorithm

2020 ◽  
Vol 10 (18) ◽  
pp. 6331
Author(s):  
Zixin Deng ◽  
Tao Chen ◽  
Haojun Wang ◽  
Shengchen Li ◽  
Defu Liu
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Laser Cladding ◽  
Process Parameters ◽  
Ceramic Coating ◽  
Process Parameter ◽  
Micro Hardness ◽  
Swarm Optimization ◽  
Laser Cladding Process ◽  
And Control

The formation process of surface coatings fabricated with laser cladding is very complicated and coating quality is closely related to laser cladding process parameters. Generally, the optimization and control of process parameters play key roles when preparing high-quality ceramic coating. In this paper, three reasonable parameters were selected for each process parameter based on the preliminary experiment. The experiment of Ti(C, N) ceramic coating prepared with laser cladding was designed via the Taguchi method. The laser power, spot diameter, overlapping ratio, and scanning velocity were selected as the main process parameters, and their effects on coating micro-hardness were analyzed using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA). Then, based on the back-propagation neural network (BPNN) and quantum-behaved particle swarm optimization (QPSO) algorithm, we created the prediction model of BPNN-QPSO neural network for laser cladding Ti(C, N) ceramic coating. The mapping of process parameters to the micro-hardness of the coating was obtained according to the model and we analyzed the influence of process parameters that interacted with the coating’s micro-hardness. The results showed that the interaction of laser cladding process parameters had a significant effect on the micro-hardness of the coating. The established BPNN-QPSO neural network model was able to map the relationship between laser cladding process parameters and coating micro-hardness. The process parameters optimized by this model had similar results with ANOVA. This research provides guidance for the selection and control of ceramic coating process parameters Ti(C, N) prepared via laser cladding.

Osseointegration and foreign body reaction: Titanium implants activate the immune system and suppress bone resorption during the first 4 weeks after implantation

2017 ◽  
Vol 20 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Ricardo Trindade ◽  
Tomas Albrektsson ◽  
Silvia Galli ◽  
Zdenka Prgomet ◽  
Pentti Tengvall ◽  
...  
Keyword(s):  
Immune System ◽  
Foreign Body ◽  
Bone Resorption ◽  
Foreign Body Reaction ◽  
Titanium Implants

Optimization of the EMS process parameters in compocasting of high-wear-resistant Al-nano-TiC composites

2016 ◽  
Vol 122 (4) ◽  
Author(s):  
Majid Shamsipour ◽  
Zahra Pahlevani ◽  
Mohsen Ostad Shabani ◽  
Ali Mazahery
Keyword(s):  
Process Parameters ◽  
Wear Resistant

A Novel Wear Resistant Glass-Ceramic Coating Material

2011 ◽  
Vol 686 ◽  
pp. 521-527
Author(s):  
Ye Han ◽  
Shu Yu Yao ◽  
Wei Wei Zhang ◽  
Ming Gu ◽  
Yu Sui Yao
Keyword(s):  
Glass Ceramic ◽  
Ceramic Coating ◽  
Coefficient Of Thermal Expansion ◽  
Xrd Analysis ◽  
Coating Material ◽  
X Ray Diffraction ◽  
Coating Materials ◽  
Wear Resistant ◽  
X Ray ◽  
Glass Ceramic Coating

A novel wear resistant glass-ceramic coating system (based on SiO2-B2O3-Al2O3 glass system) on iron based substrate was developed. Friction coefficient, wear rate and coefficient of thermal expansion of coating material were evaluated using suitable methods. The coating materials and the resultant coatings were characterized using differential thermal analysis (DTA), X-ray diffraction analysis (XRD) and Scanning Electron Microscope (SEM). XRD analysis of the coating materials showed presence of a number of microcrystal. SEM micrographs indicate strong chemical bonding at the iron-ceramic interface. The coating material showed perfect properties for protection the iron substrate from abrasion.

Optimization of SiC Concentration and Process Parameters for a Wear-Resistant UHMWPE Nancocomposite

2019 ◽  
Vol 45 (2) ◽  
pp. 849-860 ◽  
Author(s):  
Ismaila Kayode Aliyu ◽  
Muhammad Umar Azam ◽  
Dahiru Umar Lawal ◽  
Mohammed Abdul Samad
Keyword(s):  
Process Parameters ◽  
Wear Resistant

The Study of Interface Bone Formation Resulting from the Use of Intraosseous Titanium Implants

1987 ◽  
Vol 110 ◽  
Author(s):  
Philip J. Boyne
Keyword(s):  
Bone Formation ◽  
Titanium Implants ◽  
Papio Anubis ◽  
Recipient Site ◽  
Metal Implant ◽  
Metal Implants ◽  
Metallic Implants ◽  
Interface Phenomena ◽  
Bone Changes ◽  
The Subject

The histopathologic characteristics of interface phenomena existing along the surfaces of intraosseous metallic implants has been the subject of much discussion in relating the composition and configuration of implant fixtures to maximal osteointegration. (1,2) The purpose of this study was to evaluate and characterize host bone changes to various types of intraosseous metal implants placed in the femurs of six Papio anubis baboons. We wished to evaluate changes in recipient site bone remodeling which could be related to the specifics of configuration and type of metal implant used.

SYNTHESIS AND CHARACTERIZATION OF A WEAR-RESISTANT HYBRID POLYMER-CERAMIC COATING FOR DENTAL APPLICATIONS

2004 ◽  
Vol 53 (10) ◽  
pp. 859-869 ◽  
Author(s):  
A. de la Isla ◽  
S. Pacheco ◽  
M. Estevez ◽  
S. Vargas ◽  
V. Castaño ◽  
...  
Keyword(s):  
Ceramic Coating ◽  
Synthesis And Characterization ◽  
Hybrid Polymer ◽  
Wear Resistant ◽  
Dental Applications

Optimization of Process Parameters for Detonation Gun Coating Process through Greyrelation Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 636-640
Author(s):  
K.N. Balan ◽  
S. Manimaran ◽  
M.A. Essam Ahamed ◽  
Amaladas John Rajan
Keyword(s):  
Process Parameters ◽  
Spray Coating ◽  
Aviation Industry ◽  
Optimum Process ◽  
Coating Process ◽  
Micro Hardness ◽  
Wear Resistant ◽  
Optimization Of Process Parameters ◽  
Marine Industry ◽  
Detonation Gun

Detonation gun spray coating method (D-Spray) is an effective method of coating process [4]. The surface property of material will be enhanced by deposition of coating powders such as metal oxides and ceramics like aluminium oxides, tungsten carbide, nickel chromium etc. which improves micro hardness, corrosion and wear resistant resistance property. This coating process is applicable in different engineering sectors such as aviation industry, marine industry, biomedical industry etc., In this Experimental study the Process parameter optimization of D-spray coating process with different coating powder was done by Taguchi design of experiment [2] and interrelationships among multiple response was analysed with Grey relation Analysis [2] in order to find the optimized processing conditions and to get higher quality of coating. Micro hardness Wear resistant, Surface roughness are the multiple responses estimated for various combinations of parameters and the optimum process parameters were obtained.

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